CloneCloud: elastic execution between mobile device and cloud

By Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik, A. Patti. European Conference on Computer Systems, 2011

2,071 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/731304583d2e40bf6ee030e3cd81f767713f999a

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In Computer Networks and Communications

In Electrical and Electronic Engineering

In Information Systems

Citations in the corpus

Privacy Protection for Preventing Data Over-Collection in Smart City (2016, background): “There are some other researches related to mobile cloud computing [18], [19], [20].”
A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms (2019, methodology): “In Reference [43], the authors partition and offload applications at runtime to optimize the delay and energy consumption.”
A survey of mobile cloud computing: architecture, applications, and approaches (2013, background): “CloneCloud brings the power of CC to your smartphones [115].”
A Survey of Wearable Devices and Challenges (2017, methodology): “CloneCloud [262] utilises static analysis and dynamic profiling to automatically distribute application executions between local device and cloud server.”
EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications (2019, background): “For this purpose, various versions of more or less optimized heuristic and meta-heuristic task allocation algorithms have been proposed as building blocks of Middleware technological platforms, like, for example, MAUI [21], CloneCloud [49], mCloud [27], and StreamCloud [26], just to name but a few.”
A measurement study of google play (2014, background): “As a result, Android systems which only support Java-based applications are inadequate to support the most widely-used Android applications [12, 40].”
Computation Offloading Toward Edge Computing (2019, background): “Similarly, CloneCloud runs tasks based on Android Dalvik VM [127], and it can automatically offload parts of an application to the clone of a mobile device in the cloud at the thread granularity.”
Static analysis of android apps: A systematic literature review (2017, methodology): “MIGDroid [33], published in the Network domain and CloneCloud [34], published in the Systems domain, are the rare exceptions.”
Online job dispatching and scheduling in edge-clouds (2017, methodology): “CloneCloud [1] was proposed to use cloned virtual machine images in the cloud for mobile job offloading.”
Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges (2014, background): “Although several efforts such as CloneCloud [11], MAUI [10], Cloudlet [25], SAMI [45], and MOMCC [46] are facilitating and promoting cloud-based computation offloading , still research and development in this domain remains a top priority.”
Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications (2013, methodology): “ThinkAir [7] also tries to extend MAUI and CloneCloud by further exploiting the auto-scaling feature offered by the cloud.”
Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing (2017, methodology): “A UE kn can use the method in [29] and [35] to obtain the information of Zkn and Dkn .”
Fog Computing: Principles, Architectures, and Applications (2016, background): “Computation offloading has been an active area of research in the mobile computing domain, with most of the proposals offloading workloads to the cloud [6][7][8].”
Collaborative Computation Offloading for Multiaccess Edge Computing Over Fiber–Wireless Networks (2018, methodology): “A MD can apply the methods in [34], [35], and [36] to obtain the information of c i for each type of computation tasks.”